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Ítem Acciones de coopetencia en la industria de motocicletas en Colombia(Revista Espacios, 2015-06-13) Rodríguez Arroyave, C.; López Cañas, C.A.; Cartagena Echeverry, C.; Gómez Sánchez, A.; Rodríguez Arroyave, C.; López Cañas, C.A.; Cartagena Echeverry, C.; Gómez Sánchez, A.; Universidad EAFIT. Departamento de Ingeniería de Producción; Grupo en Tecnologías para la ProducciónThis paper presents a review and results achieved in some of the most important initiatives about business association in the sector of assembly of motorcycles, which have generated since 2010 in Colombia between several companies with motorcycle assembly plants of this kind of vehicles that are located in the country, with an important group of local suppliers. While, as in some of these projects of innovation and technological development carried out, academia and technological Development Centers have participated as administrators or executors of these, contributing to strengthen university-business-state relationship.Ítem Análisis de clúster estadístico como herramienta para la segmentación de cliente pyme : aplicación para una entidad financiera colombiana(Universidad EAFIT, 2023) Cano Mazo, Luisa Fernanda; Agudelo Restrepo, Juan Fernando; Puerta Álvarez, Henry DanielÍtem Los distritos creativos del Área Metropolitana del Valle de Aburrá : perspectivas sobre su tipología, la gobernanza y la innovación de los territorios(Universidad EAFIT, 2022) Maldonado Restrepo, Sebastián; Naranjo Alzate, Ana MaríaCultural and creative districts have gained popularity among public policies for territorial development and strengthening of the cultural economy and creative industries around the world. Colombia, as a result of its policy to promote the Orange Economy, has tried not to lag and has created projects such as the Orange Development Areas (AND for its acronym in Spanish), to promote the creation of territories where artists, creators, entrepreneurs, or anyone who is part or is considered part of the creative class are grouped (Florida, 2004). As an introduction, the text will make a general review of the concepts that have been behind the creation of cultural districts, such as cultural and creative industries or clusters. Then, two international cases of implementation of districts will be referenced to, subsequently, enter into the realities of three creative districts of the Metropolitan Area of the Aburrá Valley that has inspired this work, to understand the motivators and contexts of their creation and the dynamics of the actors in their relationship with the environment and the objectives of the grouping. The final purpose will be to contribute to the weak discussion in Colombia on this phenomenon, so that shortly it will serve as a validation or reference tool for other academic works or project managers in the context of an unexpected boom of creative territories throughout the country, under the figure of ADN.Ítem Exhaustive community enumeration on a cluster(Institute of Electrical and Electronics Engineers Inc., 2018-01-01) Trefftz C.; McGuire H.; Kurmas Z.; Scripps J.; Pineda J.D.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesA parallelization based on MPI and OpenMP of an algorithm that evaluates and counts all the possible communities of a graph is presented. Performance results of the parallelization of the algorithm obtained on a cluster of workstations are reported. Load balancing was used to improve the speedups obtained on the cluster. Two different kinds of load balancing approaches were used: One that involved only MPI and a second one in which MPI and OpenMP were combined. The reason for the load imbalance is described. © 2018 IEEE.Ítem Identificación de un modelo de asociación entre pymes que permita rentabilizar la exportación de pequeñas cantidades de café tostado desde el suroeste antioqueño con destino a Estados Unidos(Universidad EAFIT, 2023) Calle Galvis, Carlos; Arango Patiño, Alejandra; Zúñiga Raigoza, Jaime Alberto; Giraldo Hernández, Gina MaríaThis study focuses on identifying a partnership model between SMEs with the objective of making profitable the export of small quantities of roasted coffee from Southwest Antioquia to the United States. A comprehensive methodology was used that included statistical analysis of current export trends, the evaluation of factors that influence profitability, the study of association models in related sectors and comparative financial analysis. The results highlight the high export potential of coffee in small quantities, driven by the growing demand for high-quality coffee internationally. Aspects such as product quality, added value, brand and marketing strategies positively influence profitability. However, challenges such as tariff barriers, logistics costs and health regulations were identified, which may affect long-term profitability. The implementation of a partnership model, inspired by successful examples such as the New Zealand Kiwi Growers Organization, using the collaborative economy, is suggested as a promising strategy to improve profitability. This is achieved by optimizing the supply chain and reducing costs using fulfillment, which results in improved profitability based on comparative financial analysis. In summary, this work supports the idea that collaboration between SMEs through an association model with a collaborative economy could be an effective strategy to make profitable the export of small quantities of roasted coffee from Southwest Antioquia to the United States.Ítem The Medellin Consumer: LOCAL OR GLOBAL? A PSYCHOGRAPHIC APPROACH(Universidad EAFIT, 01/06/2003) Yaromir Muñoz Molina; Juan Gonzalo Londoño Jaramillo; Universidad EAFITÍtem Métodos de machine learning con algoritmos de clúster no supervisados, una alternativa de segmentación de las pymes colombianas para plantear estrategias de acuerdo con sus condiciones económicas(Universidad EAFIT, 2022) Ramírez Mendoza, Durley Yalile; Orozco Echeverry, César AugustoThis research created a new grouping alternative using machine learning tools such as K-means and agglomerative clustering models, based on financial information from 2016 to 2019 of 10,001 Colombian SMEs. From these models twelve clusters originated that have 98.44% of the evaluated data and it was determined that the model that presented the best clustering result was the agglomerative model which generates the following main groups: a first group with negative margins and a debt exceeding 61%, a second group starting with a range between -10% to 40% of its margins and a debt below 60%, and a third group with positive margins and a debt between 11 and 80%. Finally, these groups create strategies according to the economic conditions of each of them.Ítem Modelo de seguimiento de riesgo de crédito para el cliente independiente de una entidad financiera de Valle del Cauca(Universidad EAFIT, 2020) García Montealegre, Nathalia; Granja García, Vanessa Nathaly; Ospina Mejía, Jaime AlbertoThe purpose of this research is to propose a credit risk monitoring model for the independent profile client portfolio of a financial entity in Colombia´s department of Valle del Cauca, which provides information related to relevant variables associated to the analysis and management of the credit risk of this segment. The development of the monitoring model allows the grouping of the clients according to their characteristics and classifying them by their level of risk, predicting a possible default with more certainty and taking preventive actions against this fact, allowing in turn to comply with the risk policies defined in the Credit Risk Management System (Sistema de administración de riesgo de crédito, SARC), regulated in Colombia by the Superintendencia Financiera and based on the reference framework of the Basel Accords. The methodology used is that of data mining techniques such as clustering; the evaluation is carried out using decision trees; at the end the recommendations are presented.Ítem Peer-selection and systematic risk : an unexplored relation(Universidad EAFIT, 2022) Lopera Parra, Luis Miguel; Restrepo Tobón, Diego AlexanderÍtem Plan exportador clúster de interiorismo(Universidad EAFIT, 2021) Baldovino Alcendra, Álvaro Danilo; Henao López, Juan Sebastián; Zuñiga Raigoza, Jaime AlbertoÍtem Productive chains in Southeast Asia: integration to global networks with local companies(Universidad EAFIT, 2015-01-27) López Aymes, Juan Felipe; Universidad Nacional Autónoma de MéxicoÍtem Propuesta para la creación y consolidación de un cluster de cafés especiales en el paisaje cultural cafetero y su zona de influencia(Universidad EAFIT, 2016) Montoya Roldán, Juan Pablo; Álvarez Barrera, Claudia PatriciaÍtem Unsupervised fuzzy binning of metagenomic sequence fragments on three-dimensional Barnes-Hut t-Stochastic Neighbor Embeddings(Institute of Electrical and Electronics Engineers Inc., 2018-01-01) Ariza-Jimenez L.; Quintero O.L.; Pinel N.; Universidad EAFIT. Departamento de Ciencias; Biodiversidad, Evolución y ConservaciónShotgun metagenomic studies attempt to reconstruct population genome sequences from complex microbial communities. In some traditional genome demarcation approaches, high-dimensional sequence data are embedded into two-dimensional spaces and subsequently binned into candidate genomic populations. One such approach uses a combination of the Barnes-Hut approximation and the t -Stochastic Neighbor Embedding (BH-SNE) algorithm for dimensionality reduction of DNA sequence data pentamer profiles; and demarcation of groups based on Gaussian mixture models within humanimposed boundaries. We found that genome demarcation from three-dimensional BH-SNE embeddings consistently results in more accurate binnings than 2-D embeddings. We further addressed the lack of a priori population number information by developing an unsupervised binning approach based on the Subtractive and Fuzzy c-means (FCM) clustering algorithms combined with internal clustering validity indices. Lastly, we addressed the subject of shared membership of individual data objects in a mixed community by assigning a degree of membership to individual objects using the FCM algorithm, and discriminated between confidently binned and uncertain sequence data objects from the community for subsequent biological interpretation. The binning of metagenome sequence fragments according to thresholds in the degree of membership opens the door for the identification of horizontally transferred elements and other genomic regions of uncertain assignment in which biologically meaningful information resides. The reported approach improves the unsupervised genome demarcation of populations within complex communities, increases the confidence in the coherence of the binned elements, and enables the identification of evolutionary processes ignored in hard-binning approaches in shotgun metagenomic studies. © 2018 IEEE.